Flexible transparent display screen detection method

Abstract

The invention provides a flexible transparent display screen detection method, and belongs to the technical field of screen detection, and the method comprises the steps: carrying out a light transmittance dynamic attenuation test through optical detection equipment in a bending state of a to-be-detected flexible transparent display screen, and constructing a light transmittance attenuation image; stripping the to-be-tested flexible transparent display screen layer by layer by using a laser stripping technology, and quantifying the light transmission loss of each layer based on an integrating sphere system; point position analysis is carried out on the light transmittance attenuation image based on the light transmission loss, the abnormal attenuation point position is determined, the real use condition can be simulated to carry out layered detection on the flexible transparent display screen, and the detection accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of flexible screen detection, and particularly relates to a method for detecting a flexible transparent display screen. Background Art

[0002] With the rapid development of modern display technologies, flexible transparent displays have emerged as a revolutionary innovation technology and found wide applications in various fields such as wearable devices, foldable smartphones, and automotive head-up displays. Their unique combination of flexibility and transparency brings new form factors and user experiences.

[0003] In these applications, the transmittance of flexible transparent displays is a key parameter. High transmittance ensures clear visibility of the displayed content and allows for better interaction with the surrounding environment in scenarios such as augmented reality (AR) displays. However, the performance of flexible transparent displays in a bent state may be significantly affected. Mechanical stress during the bending process may cause changes in the internal structure of the display layer, leading to a dynamic attenuation of transmittance over time.

[0004] Traditional optical detection methods mainly focus on measuring the static transmittance of flat panel displays. They cannot well handle the complex dynamic transmittance changes that occur when flexible transparent displays are bent. There is a lack of effective techniques to accurately capture and analyze the transmittance attenuation process under bending conditions.

[0005] In addition, understanding the contribution of each layer in a flexible transparent display to light loss is crucial for optimizing the overall display design. Existing layer-by-layer analysis methods are either too destructive or lack precision to accurately quantify the light loss of each layer. This makes it difficult to determine the root cause of transmittance attenuation and take targeted improvement measures.

[0006] Therefore, the present invention provides a method for detecting a flexible transparent display screen. Summary of the Invention The present invention provides a method for detecting a flexible transparent display screen, which is used to perform a dynamic attenuation test through an optical detection device under the bent state of the flexible transparent display screen to be tested, construct a transmittance attenuation image, strip each layer of the flexible transparent display screen to be tested, calculate the light transmittance loss of each layer, perform point analysis on the transmittance attenuation image based on the light transmittance loss, determine abnormal attenuation points, and can perform layer-by-layer detection on the flexible transparent display screen to simulate the actual use situation, improving the detection accuracy.

[0007] The present invention provides a method for detecting a flexible transparent display screen, including: Performing a dynamic attenuation test of the transmittance through an optical detection device under the bent state of the flexible transparent display screen to be tested, and constructing a transmittance attenuation image; Use the laser lift-off technology to strip the flexible transparent display screen to be tested layer by layer, and quantify the light transmission loss of each layer based on the integrating sphere system; Perform point analysis on the light transmittance attenuation image based on the light transmission loss to determine the abnormal attenuation points.

[0008] Preferably, when the flexible transparent display screen to be tested is in a bent state, perform a dynamic attenuation test of the light transmittance through an optical detection device to construct a light transmittance attenuation image, including: Perform multiple bending actions on the flexible transparent display screen to be tested based on a preset radius of curvature; During the bending process, collect the light transmittance data of multiple detection points on the screen surface in real time through the optical detection device; Generate a light transmittance attenuation curve according to the mapping relationship between the bending times and the corresponding light transmittance, and construct the light transmittance attenuation image through an image processing algorithm.

[0009] Preferably, the optical detection device collects the light transmittance data on the screen surface in real time with a grid detection point array, including: Divide the grid on the screen surface and generate random detection points based on the position of the grid; At the peak curvature position of each bending action, and collect data of the detection points based on a preset sampling frequency; Bind and store the light transmittance data with the bending times and the radius of curvature value in real time.

[0010] Preferably, the method of generating a light transmittance attenuation curve according to the mapping relationship between the bending times and the corresponding light transmittance, and constructing the light transmittance attenuation image through an image processing algorithm, includes: Fit the discrete light transmittance - bending times data points to generate a smooth light transmittance attenuation curve; Map the light transmittance attenuation curve to the screen surface according to the spatial position to generate a light transmittance attenuation heat map.

[0011] Preferably, the method of using the laser lift-off technology to strip the flexible transparent display screen to be tested layer by layer, and quantifying the light transmission loss of each layer based on the integrating sphere system, includes: Strip the flexible transparent display screen to be tested layer by layer in the order of encapsulation layer - light-emitting layer - conductive layer, and remove the residual particles by purging with inert gas after each layer is stripped; Place the stripped sample in the integrating sphere system, use a collimated light source to vertically incident, and measure the light transmittance of the remaining structure; Calculate the light transmission loss of each layer based on the light transmittance; Generate a distribution map of the contribution of the interlayer light transmission loss based on the light transmission loss of each layer.

[0012] Preferably, calculating the light transmittance loss of each layer based on the light transmittance includes:

[0013] where is the light transmittance loss of the k-th layer; is the light transmittance before peeling off the k-th layer; represents the light transmittance after peeling off the k-th layer; is the interface scattering correction factor; and are the refractive indices of the k-th layer and the (k - 1)-th layer, respectively.

[0014] Preferably, performing point analysis on the light transmittance attenuation image based on the light transmittance loss to determine abnormal attenuation points includes: Based on the gray value distribution of the light transmittance attenuation heat map, using the region growing algorithm to mark continuous abnormal regions and eliminating noise points through the morphological closing algorithm; Calculating the light transmittance attenuation gradient for each abnormal region, and if the gradient is greater than the preset gradient threshold, determining it as a structural defect; Mapping the abnormal points where the abnormal regions corresponding to the structural defects are located to the layer - to - layer light transmittance loss contribution distribution map to locate the material layer corresponding to the abnormal region; Combining the preset bending stress simulation data to verify whether the abnormal points are located in the stress concentration area, and if in the stress concentration area, determining the stress matching degree of the abnormal points; According to the gradient feature, the material layer, and the stress matching degree, and analyzing the defect type through a pre - trained convolutional neural network model, outputting the coordinates of the abnormal points and the defect type, where the gradient feature is the light transmittance attenuation gradient feature of the abnormal region.

[0015] Preferably, generating a smooth light transmittance attenuation curve includes: Performing polynomial fitting, spline fitting, and Gaussian fitting on the discrete light transmittance - bending times data points respectively, and determining the change trend of the data points under different fitting methods; Performing similarity analysis on the change trend under each fitting method with the standard trend of the corresponding fitting method to determine the initial matching degree; Performing similarity analysis on the change trend under the corresponding fitting method with the standard trends of the remaining two fitting methods to determine the corresponding second matching degree and third matching degree; Performing residual analysis on the initial matching degree, the second matching degree, and the third matching degree under the same change trend, and screening the maximum matching degree from the corresponding initial matching degree, second matching degree, and third matching degree; If the maximum matching degree is the initial matching degree, the corresponding initial matching degree is retained; If the maximum matching degree is not the initial matching degree, at this time, the corresponding initial matching degree is adjusted and retained according to the residual analysis result;

[0016] Among them, P1 represents the adjusted degree; P0 represents the corresponding initial matching degree; represents the residual; represents the set error; 、 respectively represent the corresponding second matching degree and third matching degree; represents the minimum value symbol; According to the change trend and the retained matching degree of the corresponding fitting method, the fitting result with the highest matching degree is selected; Use the least squares method to adjust the distribution of the fitting result, and perform smoothness verification on the generated curve; When the fluctuation of the second derivative of the generated curve exceeds the preset threshold, the generated curve is smoothed again until the light transmittance attenuation curve is generated.

[0017] Compared with the prior art, the beneficial effects of the present application are as follows: Under the bending state of the flexible transparent display screen to be measured, dynamic attenuation testing is carried out through an optical detection device to construct a light transmittance attenuation image. Each layer of the flexible transparent display screen to be measured is peeled off, and the light transmittance loss of each layer is calculated. Based on the light transmittance loss, point analysis is performed on the light transmittance attenuation image to determine abnormal attenuation points, which can simulate the actual use situation to perform layer-by-layer detection on the flexible transparent display screen and improve the detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a flowchart of a method for detecting a flexible transparent display screen in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To make the objectives, technical solutions and advantages of the present invention more clear, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1: The embodiment of the present invention provides a method for detecting a flexible transparent display screen, as Figure 1 shown, including: S101: When the flexible transparent display screen to be tested is in a bent state, perform a dynamic attenuation test of the light transmittance through an optical detection device to construct an image of the light transmittance attenuation; S102: Use the laser lift-off technology to layer-by-layer peel the flexible transparent display screen to be tested, and quantify the light transmittance loss of each layer based on an integrating sphere system; S103: Perform a point analysis on the light transmittance attenuation image based on the light transmittance loss to determine the abnormal attenuation points.

[0022] In this embodiment, the bent state is bent by setting a preset curvature radius through a dynamic deformation clamp. The optical detection device can be a spectrophotometer or an integrating sphere system, and the light transmittance of the flexible transparent display screen to be tested is measured by the spectrophotometer method or the integrating sphere method. The dynamic attenuation test is that the dynamic deformation clamp makes the flexible transparent display screen to be tested continuously at the bending peak, and then continuously scans through the optical detection device in different wavelength ranges, records the light transmittance at each wavelength, takes the average value to obtain the light transmittance, and records the corresponding number of bending times. The light transmittance attenuation image is a two-dimensional light transmittance attenuation heat map generated by mapping the light transmittance attenuation curve to the screen surface according to the spatial position through bilinear interpolation.

[0023] In this embodiment, a pulsed ultraviolet laser with a wavelength of 266 nm (energy density 0.5 - 3 , pulse width 10 ns) is used to layer-by-layer peel the flexible transparent display screen to be tested in the order of the encapsulation layer - light-emitting layer - conductive layer. After peeling one layer, the remaining structure is placed in the integrating sphere system, and the light is incident perpendicularly with a collimated light source to measure the light transmittance of the remaining structure, and the light transmittance loss of each layer is calculated according to the light transmittance of each remaining structure.

[0024] In this embodiment, based on the gray value of the light transmittance attenuation image, the abnormal region of the light transmittance attenuation image is analyzed according to the region growing algorithm, the light transmittance attenuation gradient of the abnormal region is calculated, the abnormal region with a gradient greater than the preset gradient threshold is determined, the abnormal points corresponding to the abnormal region determined to be a structural defect are mapped to the interlayer light transmittance loss contribution distribution map formed by the light transmittance loss, the material layer corresponding to the abnormal region is located, and according to the material layer, gradient characteristics and stress matching degree, the type of defect is analyzed through a pre-trained convolutional neural network model, and the coordinates of the abnormal points and the type of defect are output.

[0025] The beneficial effects of the above technical solution are as follows: Under the bending state of the flexible transparent display screen to be tested, dynamic attenuation testing is carried out through an optical detection device to construct a light transmittance attenuation image. Each layer of the flexible transparent display screen to be tested is peeled off, the light transmittance loss of each layer is calculated, and point analysis is carried out on the light transmittance attenuation image based on the light transmittance loss to determine the abnormal attenuation points, so as to simulate the actual use situation to carry out layer-by-layer detection of the flexible transparent display screen and improve the detection accuracy.

[0026] Embodiment 2: Based on Embodiment 1, under the bending state of the flexible transparent display screen to be tested, dynamic attenuation testing of the light transmittance is carried out through an optical detection device to construct a light transmittance attenuation image, including: Performing multiple bending actions on the flexible transparent display screen to be tested based on a preset radius of curvature; During the bending process, the light transmittance data of multiple detection points on the screen surface are collected in real time through an optical detection device; According to the mapping relationship between the number of bends and the corresponding light transmittance, a light transmittance attenuation curve is generated, and a light transmittance attenuation image is constructed through an image processing algorithm.

[0027] In this embodiment, the flexible transparent display screen to be tested is installed on a dynamic bending clamp with an adjustable radius of curvature. The preset radius of curvature is adjustable within 1-10 mm, and the screen is bent cyclically at a frequency of 5-20 times per minute, and the number of bends is preset to 1000 times.

[0028] In this embodiment, data collection is triggered at the peak curvature position (the radius of curvature reaches the set R value) of each bending action to ensure the consistency of the deformation state. An M×N grid (M≥3, N≥3) is divided on the screen surface. If the grid is in the bending stress concentration area, more monitoring points are set. If the grid is not in the bending stress concentration area, fewer detection points are set, and the number of detection points increases with the increase of the number of grids. The detection points are randomly generated in the grid. The collected light transmittance data are stored in real time in association with the number of bends and the radius of curvature.

[0029] In this embodiment, the light transmittance attenuation curve is obtained by fitting discrete light transmittance - number of bends data points to generate a smooth attenuation curve and removing high-frequency noise through Gaussian filtering.

[0030] The beneficial effects of the above technical solution are as follows: The flexible transparent display to be tested is bent by simulating the real usage environment, the light transmittance of the screen surface is detected by an optical detection device, and a light transmittance attenuation image is constructed, laying a foundation for subsequent determination of abnormal attenuation points.

[0031] Embodiment 3: Based on Embodiment 2, the optical detection device collects the light transmittance data of the screen surface in real time with a grid detection point array, including: Divide the grid on the screen surface and generate random detection points based on the position of the grid; At the peak curvature position of each bending action, and collect data from the detection points based on a preset sampling frequency; Bind and store the light transmittance data with the number of bending times and the curvature radius value in real time.

[0032] In this embodiment, the generation of detection points satisfies the principle of priority coverage rate, ensuring that the detection points cover the entire screen area (high-risk positions such as edges and bending areas are prioritized).

[0033] In this embodiment, the preset sampling frequency is set according to the frequency of bending the screen, which is 5 - 20 times per minute.

[0034] In this embodiment, the spectrophotometer divides the light in the visible light band of 380nm - 780nm at 10nm intervals, independently collects the light transmittance of each sub-band, and takes the average value of the light transmittance of each sub-band as the light transmittance corresponding to the number of bending times and the curvature radius.

[0035] The beneficial effects of the above technical solution are as follows: Divide the grid on the screen surface, randomly generate detection points, and collect light transmittance data at the peak curvature position of each bending action, ensuring the consistency of deformation and laying a foundation for subsequent generation of the light transmittance attenuation curve.

[0036] Embodiment 4: Based on Embodiment 1, according to the mapping relationship between the number of bending times and the corresponding light transmittance, generate a light transmittance attenuation curve, and construct a light transmittance attenuation image through an image processing algorithm, including: Fit the discrete light transmittance - number of bending times data points to generate a smooth light transmittance attenuation curve; Map the light transmittance attenuation curve to the screen surface according to the spatial position to generate a light transmittance attenuation heat map.

[0037] In this embodiment, cubic spline interpolation is used to fit the discrete light transmittance - number of bending times data points to generate a smooth attenuation curve, and Gaussian filtering is used to remove high-frequency noise.

[0038] In this embodiment, the detection point positions corresponding to the light transmittance attenuation curve are mapped to the screen surface, and a two-dimensional light transmittance attenuation heat map is generated by bilinear interpolation and the attenuation intensity is represented by pseudo-color coding.

[0039] The beneficial effects of the above technical solution are as follows: Curve fitting is performed on the discrete light transmittance - bending times data points according to cubic spline interpolation, and the light transmittance attenuation curve is mapped to the screen surface according to the spatial position to generate a light transmittance attenuation heat map, laying a foundation for subsequent determination of the abnormal area.

[0040] Embodiment 5: Based on Embodiment 4, the flexible transparent display screen to be measured is peeled layer by layer using the laser lift-off technology, and the light transmittance loss of each layer is quantified based on the integrating sphere system, including: The flexible transparent display screen to be measured is peeled layer by layer in the order of encapsulation layer - light-emitting layer - conductive layer, and after each layer is peeled, the residual particles are removed by purging with inert gas; The peeled sample is placed in the integrating sphere system, and a collimated light source is vertically incident to measure the light transmittance of the remaining structure; Calculate the light transmittance loss of each layer based on the light transmittance; Generate a contribution distribution map of the interlayer light transmittance loss based on the light transmittance loss of each layer.

[0041] In this embodiment, an ultraviolet pulsed laser with a wavelength of 266 nm (energy density 0.5 - 3 , pulse width 10 ns) is used to peel the flexible transparent display screen to be measured layer by layer in the order of encapsulation layer - light-emitting layer - conductive layer.

[0042] In this embodiment, the light transmittance is also detected before peeling, and the beam diameter of the collimated light source is 1 mm.

[0043] In this embodiment, the contribution distribution map of the interlayer light transmittance loss shows the contribution of each layer of material to the overall light transmittance loss and exists in a three-dimensional form.

[0044] The beneficial effects of the above technical solution are as follows: The flexible transparent display screen to be measured is peeled layer by layer according to the laser lift-off technology, and the light transmittance of the remaining structure is measured through the integrating sphere system, and then the light transmittance loss of each layer is calculated, so as to generate a contribution distribution map of the interlayer light transmittance loss, laying a foundation for subsequent determination of the layer where the abnormal attenuation point is located.

[0045] Embodiment 6: Based on Embodiment 5, calculate the light transmittance loss of each layer based on the light transmittance, including:

[0046] Wherein, is the light transmittance loss of the k-th layer; is the light transmittance before peeling the k-th layer; represents the light transmittance after peeling the k-th layer; is the interface scattering correction factor; and are the refractive indices of the k-th layer and the (k - 1)-th layer respectively.

[0047] In this embodiment, has a value range of (0.1 - 0.3).

[0048] The beneficial effects of the above technical solution are: determining the light transmittance loss of each layer based on the light transmittance, refractive index, and interface scattering correction factor of adjacent layers, which lays a foundation for subsequent determination of the layer where the abnormal attenuation point is located.

[0049] Embodiment 7: Based on Embodiment 5, perform point analysis on the light transmittance attenuation image based on the light transmittance loss to determine abnormal attenuation points, including: Based on the gray value distribution of the light transmittance attenuation heat map, use the region growing algorithm to mark continuous abnormal regions and eliminate noise points through the morphological closing algorithm; Calculate the light transmittance attenuation gradient for each abnormal region. If the gradient is greater than the preset gradient threshold, it is determined as a structural defect; Map the abnormal points where the abnormal regions corresponding to the structural defects are located to the layer-by-layer light transmittance loss contribution distribution map to locate the material layer corresponding to the abnormal region; Combine the preset bending stress simulation data to verify whether the abnormal points are located in the stress concentration area. If they are in the stress concentration area, determine the stress matching degree of the abnormal points; According to the gradient characteristics, material layer, and stress matching degree, and analyze the defect type through a pre-trained convolutional neural network model, output the coordinates of the abnormal points and the defect type; the gradient characteristic is the light transmittance attenuation gradient characteristic of the abnormal region.

[0050] In this embodiment, the seed points in the region growing algorithm are automatically selected. Traverse the light transmittance attenuation heat map and select pixels with a gray value equal to the preset threshold (such as ) as candidate seed points. If multiple candidate seed points are adjacent (such as the spacing ), only keep the one with the highest gray value to avoid repeated growth. The growth rule is based on similarity judgment. For the 8-neighborhood of the edge pixels of the current region, if the gray value of the neighborhood pixel is equal to the preset threshold and the difference from the average gray value of the region is less than or equal to a certain value, it is included in the growth region. When the region cannot be further expanded or the region area reaches the preset upper limit (such as 5% of the screen area ), the growth stops.

[0051] In this embodiment, the light transmittance attenuation gradient represents the degree of change in the light transmittance attenuation values at different positions. , where represents the light transmittance attenuation gradient, represents the attenuation change rate in the horizontal direction, represents the attenuation change rate in the vertical direction, and the preset gradient threshold is 5% / mm² and the area ≥ 0.1 mm².

[0052] In this embodiment, the two-dimensional coordinates of the abnormal points are extracted, and the two-dimensional coordinates of the abnormal points are mapped to the interlayer light transmittance loss contribution distribution map. The light transmittance loss values of each layer are extracted along the layer direction. If the light transmittance loss value of a certain layer satisfies the light transmittance attenuation gradient of the abnormal points, then this layer is the layer where the defect is located. The material layer is such as a substrate, a conductive layer or a packaging layer.

[0053] In this embodiment, the preset bending stress simulation data is obtained based on the finite element analysis results. Whether it is in the stress concentration area is determined based on the two-dimensional coordinates of the abnormal points. The stress matching degree is to compare the stress distribution of the abnormal points with the preset bending stress simulation data, and calculate the coincidence degree between the abnormal points and the high stress area.

[0054] In this embodiment, the pre-trained convolutional neural network model is trained according to the gradient features and stress matching degrees of various defects existing in each layer in large quantities. The gradient features, material layer and stress matching degree are input, and the coordinates and defect types are output.

[0055] The beneficial effects of the above technical solutions are as follows: Based on the gray values of the light transmittance attenuation images, the abnormal regions of the light transmittance attenuation images are analyzed according to the region growing algorithm, the light transmittance attenuation gradient of the abnormal regions is calculated, the abnormal regions with gradients greater than the preset gradient threshold are determined, the abnormal points corresponding to the abnormal regions determined to be structural defects are mapped to the interlayer light transmittance loss contribution distribution map formed by the light transmittance loss, the material layer corresponding to the abnormal region is located, and according to the material layer, gradient features and stress matching degree, the defect type is analyzed through the pre-trained convolutional neural network model, and the coordinates and defect type of the abnormal points are output, improving the detection accuracy.

[0056] Embodiment 8: Based on Embodiment 4, generating the smoothed light transmittance attenuation curve includes: Performing polynomial fitting, spline fitting and Gaussian fitting on the discrete light transmittance - number of bending times data points respectively, and determining the change trends of the data points under different fitting methods; Performing similarity analysis on the change trends under each fitting method with the standard trends of the corresponding fitting methods respectively to determine the initial matching degree; Perform a similarity analysis on the trend of change under the corresponding fitting method and the standard trends under the remaining two fitting methods to determine the corresponding second matching degree and third matching degree; Perform a residual analysis on the initial matching degree, second matching degree, and third matching degree under the same trend of change, and select the maximum matching degree from the corresponding initial matching degree, second matching degree, and third matching degree; If the maximum matching degree is the initial matching degree, retain the corresponding initial matching degree; If the maximum matching degree is not the initial matching degree, at this time, adjust and retain the corresponding initial matching degree according to the results of the residual analysis;

[0057] Among them, P1 represents the adjusted degree; P0 represents the corresponding initial matching degree; represents the residual; represents the set error; 、 respectively represent the corresponding second matching degree and third matching degree; represents the minimum value symbol; According to the trend of change and the retained matching degree of the corresponding fitting method, screen the fitting result with the highest matching degree; Use the least squares method to adjust the distribution of the fitting result, and perform a smoothness check on the generated curve; When the second derivative fluctuation of the generated curve exceeds the preset threshold, the generated curve is smoothed again until a light transmittance attenuation curve is generated.

[0058] In this embodiment, using the least squares method, construct the objective function , where is the light transmittance value of the discrete data point, is the corresponding number of bending times, f(x) is the cubic spline fitting function, and n is the number of data points.

[0059] In this embodiment, the preset threshold is 0.1.

[0060] In this embodiment, common trends of change include polynomial fitting (quadratic, cubic, etc.), spline fitting, Gaussian fitting, etc., and the standard trends under different fitting methods are different, and the trend of change is related to the goodness of fit, the uniformity of the residual distribution, the closeness of the fitting curve to the data points, etc.

[0061] In this embodiment, the result of the residual analysis is: the ratio result of the absolute value of (initial matching degree + second matching degree + third matching degree) - (3 × set error) to 3!, and 3! = 6.

[0062] The beneficial effects of the above technical solution are as follows: By fitting data points in different ways to obtain the changing trend, and adjusting the matching degree under the corresponding fitting method according to the matching degree between each changing trend and different standard trends, the reasonable matching between the changing trend and the fitting method is ensured, thereby ensuring the reliability of curve adjustment and smoothing processing, and improving the generation accuracy of the light transmittance attenuation curve.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting a flexible transparent display screen, characterized in that, Including: Under the bending state of the flexible transparent display screen to be tested, perform a dynamic attenuation test of the light transmittance through an optical detection device, and construct a light transmittance attenuation image; Use the laser lift-off technology to layer-by-layer peel the flexible transparent display screen to be tested, and quantify the light transmittance loss of each layer based on an integrating sphere system; Based on the light transmittance loss, perform a point analysis on the light transmittance attenuation image to determine the abnormal attenuation points.

2. The method according to claim 1, wherein The step of, under the bending state of the flexible transparent display screen to be tested, performing a dynamic attenuation test of the light transmittance through an optical detection device and constructing a light transmittance attenuation image includes: Perform multiple bending actions on the flexible transparent display screen to be tested based on a preset curvature radius; During the bending process, use the optical detection device to collect the light transmittance data of multiple detection points on the screen surface in real time; According to the mapping relationship between the bending times and the corresponding light transmittance, generate a light transmittance attenuation curve, and construct the light transmittance attenuation image through an image processing algorithm.

3. The method according to claim 2, wherein The optical detection device collects the light transmittance data on the screen surface in real time with a grid detection point array, including: Divide the grid on the screen surface, and generate random detection points based on the positions of the grids; At the peak curvature position of each bending action, and collect data of the detection points based on a preset sampling frequency; Bind and store the light transmittance data with the bending times and the curvature radius values in real time.

4. The method according to claim 2, wherein The step of, according to the mapping relationship between the bending times and the corresponding light transmittance, generating a light transmittance attenuation curve and constructing the light transmittance attenuation image through an image processing algorithm includes: Fit the discrete light transmittance - bending times data points to generate a smooth light transmittance attenuation curve; Map the light transmittance attenuation curve to the screen surface according to the spatial position to generate a light transmittance attenuation heat map.

5. The method according to claim 4, wherein The step of using the laser lift-off technology to layer-by-layer peel the flexible transparent display screen to be tested and quantifying the light transmittance loss of each layer based on an integrating sphere system includes: Peel the flexible transparent display screen to be tested layer by layer in the order of encapsulation layer - light-emitting layer - conductive layer, and remove the residual particles by purging with inert gas after each layer is peeled; Place the peeled sample in the integrating sphere system, use a collimated light source to vertically incident, and measure the light transmittance of the remaining structure; Calculate the light transmittance loss of each layer based on the light transmittance; Generate a layer-to-layer light transmittance loss contribution distribution map based on the light transmittance loss of each layer.

6. The method according to claim 5, characterized in that The step of calculating the light transmittance loss of each layer based on the light transmittance includes: Among them, is the light transmission loss of the k-th layer; is the light transmittance before peeling off the k-th layer; represents the light transmittance after peeling off the k-th layer; is the interface scattering correction factor; and are the refractive indices of the k-th layer and the (k - 1)-th layer respectively.

7. The method according to claim 5, wherein The step of performing a point analysis on the light transmittance attenuation image based on the light transmittance loss to determine the abnormal attenuation points includes: Based on the gray value distribution of the light transmittance attenuation heat map, use the region growing algorithm to mark the continuous abnormal regions, and eliminate the noise points through the morphological closing algorithm; Calculate the light transmittance attenuation gradient for each abnormal region. If the gradient is greater than a preset gradient threshold, it is determined as a structural defect; Map the abnormal points where the abnormal regions corresponding to the structural defects are located to the layer-to-layer light transmittance loss contribution degree distribution map to locate the material layer corresponding to the abnormal region; Combined with the preset bending stress simulation data, verify whether the abnormal points are located in the stress concentration area. If in the stress concentration area, determine the stress matching degree of the abnormal points. Analyze the defect type based on the gradient feature, the material layer, and the stress matching degree, and output the coordinates of the abnormal point and the defect type through a pre-trained convolutional neural network model, where the gradient feature is the light transmittance attenuation gradient feature of the abnormal region.

8. The method according to claim 4, characterized in that, Generate the smooth light transmittance attenuation curve, including: Perform polynomial fitting, spline fitting, and Gaussian fitting on the discrete light transmittance - bending times data points respectively, and determine the change trend of the data points under different fitting methods; Perform similarity analysis on the change trend under each fitting method and the standard trend of the corresponding fitting method to determine the initial matching degree; Perform similarity analysis on the change trend under the corresponding fitting method and the standard trends of the remaining two fitting methods to determine the corresponding second matching degree and third matching degree; Perform residual analysis on the initial matching degree, the second matching degree, and the third matching degree under the same change trend, and screen the maximum matching degree from the corresponding initial matching degree, the second matching degree, and the third matching degree; If the maximum matching degree is the initial matching degree, retain the corresponding initial matching degree; If the maximum matching degree is not the initial matching degree, at this time, adjust and retain the corresponding initial matching degree according to the residual analysis result; Among them, P1 represents the adjusted degree; P0 represents the corresponding initial matching degree; represents the residual; represents the setting error; , respectively represent the corresponding second matching degree and third matching degree; represents the minimum value symbol; According to the change trend and the retained matching degree of the corresponding fitting method, screen the fitting result with the highest matching degree; Use the least squares method to adjust the distribution of the fitting result, and perform smoothness verification on the generated curve; When the fluctuation of the second derivative of the generated curve exceeds the preset threshold, perform secondary smoothing processing on the generated curve until the light transmittance attenuation curve is generated.

Images